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5ac119a6e7
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added light web UI (need to port the telemetry disabling bandaids from aivc)
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2023-09-09 16:17:20 -05:00 |
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67617d7d69
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also cull frozen_params in the params optimizer receives to reduce VRAM it consumes
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2023-09-07 18:27:02 -05:00 |
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8837bc34d7
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added option to specify parameters to freeze per-model in YAML (because I need to see about committing atrocities with convering an AR into an AR+NAR)
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2023-09-07 18:19:51 -05:00 |
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ab5134f385
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tweaks and fixes
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2023-09-07 17:08:38 -05:00 |
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e7a67410d1
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oops
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2023-09-07 09:14:03 -05:00 |
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712808494f
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added support for optional prodigy optimizer (https://github.com/konstmish/prodigy) although it consumes a lot more VRAM per parameter
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2023-09-06 20:33:16 -05:00 |
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100ca6b7d0
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added option to use SGD optimizer through the YAML, added option to pass in additional optimizer parameters through the YAML, added experimental unified AR+NAR model (does not seem fruitful in testing)
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2023-09-06 18:58:35 -05:00 |
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8a6c203277
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added per-speaker samplers
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2023-09-03 21:27:13 -05:00 |
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81b05dabb9
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accurate epoch metric is now reported (based on samples processed / length of dataset's paths, rather than naive assumptions)
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2023-09-03 08:03:36 -05:00 |
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57db3ccfa8
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shuffled VALL-E continuous as a task tts-c instead, logic fixes for it
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2023-09-02 12:23:40 -05:00 |
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7f4388e591
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added total samples processed and tokens processed (len of text tokens + len of target response tokens)
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2023-08-28 11:02:45 -05:00 |
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87c4bfedba
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added ability to mark models as disabled for training, and hotloading them for eval/validation (useful if training only one model, or training a model per GPU)
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2023-08-27 12:26:12 -05:00 |
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0517d620b8
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fixes with the local backend
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2023-08-24 17:05:56 -05:00 |
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501a857d5d
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ops
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2023-08-23 17:03:25 -05:00 |
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4585824cd3
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tweaks, including exporting on save/quit
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2023-08-23 16:43:03 -05:00 |
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b105f6211e
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added ability to export weights mid-training to avoid CBT to yank the weights while the training script is running
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2023-08-20 13:39:58 -05:00 |
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2d1a9f10c0
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nightmare of spaghetti that might break compat; mechanism to increase RVQ bins of an existing model without retraining, keeps sampled proms/resps at max RVQ level and trim off excess levels according to what model receives them, some other things I already forgot (I really hope no one else has weights being baked right now)
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2023-08-19 15:06:33 -05:00 |
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0b46c1e312
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god I am inexperienced with retaining compat from previous weights, I hope no one actually has weights
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2023-08-18 21:29:20 -05:00 |
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2a71486cb6
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preparing for SpeechX extensions
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2023-08-18 20:58:07 -05:00 |
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ced31fd9b7
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removed the sampler as it's very misleading
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2023-08-18 14:47:48 -05:00 |
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599e47a813
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might fix user inputted saving/quitting breaking when distributed
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2023-08-15 23:52:20 -05:00 |
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13571380be
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made exporter make more sense
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2023-08-13 22:56:28 -05:00 |
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d7deaf6def
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distributed training works now (hopefully)
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2023-08-13 22:07:45 -05:00 |
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2af09d0bef
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fixed that mysterious discepancy between the reported losses (I am so freaking mad, my piss is boiling, I had to interrupt halfway through an epoch)
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2023-08-05 15:25:41 -05:00 |
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d89568a96e
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some fixes for the local framework
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2023-08-05 03:22:15 +00:00 |
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c85101403f
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big cleanup
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2023-08-03 20:26:36 -05:00 |
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2e03e5ac93
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Fixed an issue with having fairseq installed at all will brick logging
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2023-08-02 22:57:10 -05:00 |
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f6597e2dfe
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adjustments
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2023-08-02 18:36:26 -05:00 |
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0f9b81de75
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oops
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2023-08-02 18:12:36 -05:00 |
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bf8cedc9dd
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Rewrite init
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2023-08-02 21:53:35 +00:00 |
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